Pandas Profiling Report

Dataset statistics

Number of variables	16
Number of observations	4238
Missing cells	645
Missing cells (%)	1.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	529.9 KiB
Average record size in memory	128.0 B

Variable types

Categorical	8
Numeric	8

Alerts

`cigsPerDay` is highly overall correlated with `currentSmoker`	High correlation
`currentSmoker` is highly overall correlated with `cigsPerDay`	High correlation
`diaBP` is highly overall correlated with `prevalentHyp` and 1 other fields	High correlation
`diabetes` is highly overall correlated with `glucose`	High correlation
`glucose` is highly overall correlated with `diabetes`	High correlation
`prevalentHyp` is highly overall correlated with `diaBP` and 1 other fields	High correlation
`sysBP` is highly overall correlated with `diaBP` and 1 other fields	High correlation
`BPMeds` is highly imbalanced (80.7%)	Imbalance
`prevalentStroke` is highly imbalanced (94.8%)	Imbalance
`diabetes` is highly imbalanced (82.8%)	Imbalance
`education` has 105 (2.5%) missing values	Missing
`BPMeds` has 53 (1.3%) missing values	Missing
`totChol` has 50 (1.2%) missing values	Missing
`glucose` has 388 (9.2%) missing values	Missing
`cigsPerDay` has 2144 (50.6%) zeros	Zeros

Reproduction

Analysis started	2024-09-29 19:29:25.845839
Analysis finished	2024-09-29 19:29:34.285025
Duration	8.44 seconds
Software version	ydata-profiling vv4.10.0
Download configuration	config.json

male
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	33.2 KiB

0	2419
1	1819

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	4238
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2419	57.1%
1	1819	42.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2419	57.1%
1	1819	42.9%

Most occurring characters

Value	Count	Frequency (%)
0	2419	57.1%
1	1819	42.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4238	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2419	57.1%
1	1819	42.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	4238	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2419	57.1%
1	1819	42.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4238	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2419	57.1%
1	1819	42.9%

age
Real number (ℝ)

Distinct	39
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	49.584946

Minimum	32
Maximum	70
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	33.2 KiB

Quantile statistics

Minimum	32
5-th percentile	37
Q1	42
median	49
Q3	56
95-th percentile	64
Maximum	70
Range	38
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	8.5721599
Coefficient of variation (CV)	0.17287828
Kurtosis	-0.98963585
Mean	49.584946
Median Absolute Deviation (MAD)	7
Skewness	0.22814578
Sum	210141
Variance	73.481926
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=39)

Value	Count	Frequency (%)
40	191	4.5%
46	182	4.3%
42	180	4.2%
41	174	4.1%
48	173	4.1%
39	169	4.0%
44	166	3.9%
45	162	3.8%
43	159	3.8%
52	149	3.5%
Other values (29)	2533	59.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
32	1	< 0.1%
33	5	0.1%
34	18	0.4%
35	42	1.0%
36	84	2.0%
37	92	2.2%
38	144	3.4%
39	169	4.0%
40	191	4.5%
41	174	4.1%

Value	Count	Frequency (%)
70	2	< 0.1%
69	7	0.2%
68	18	0.4%
67	45	1.1%
66	38	0.9%
65	57	1.3%
64	93	2.2%
63	110	2.6%
62	99	2.3%
61	110	2.6%

education
Categorical

MISSING

Distinct	4
Distinct (%)	0.1%
Missing	105
Missing (%)	2.5%
Memory size	33.2 KiB

1.0	1720
2.0	1253
3.0	687
4.0	473

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	12399
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4.0
2nd row	2.0
3rd row	1.0
4th row	3.0
5th row	3.0

Common Values

Value	Count	Frequency (%)
1.0	1720	40.6%
2.0	1253	29.6%
3.0	687	16.2%
4.0	473	11.2%
(Missing)	105	2.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	1720	41.6%
2.0	1253	30.3%
3.0	687	16.6%
4.0	473	11.4%

Most occurring characters

Value	Count	Frequency (%)
.	4133	33.3%
0	4133	33.3%
1	1720	13.9%
2	1253	10.1%
3	687	5.5%
4	473	3.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8266	66.7%
Other Punctuation	4133	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	4133	50.0%
1	1720	20.8%
2	1253	15.2%
3	687	8.3%
4	473	5.7%

Other Punctuation

Value	Count	Frequency (%)
.	4133	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	12399	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	4133	33.3%
0	4133	33.3%
1	1720	13.9%
2	1253	10.1%
3	687	5.5%
4	473	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12399	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	4133	33.3%
0	4133	33.3%
1	1720	13.9%
2	1253	10.1%
3	687	5.5%
4	473	3.8%

currentSmoker
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	33.2 KiB

0	2144
1	2094

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	4238
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	2144	50.6%
1	2094	49.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2144	50.6%
1	2094	49.4%

Most occurring characters

Value	Count	Frequency (%)
0	2144	50.6%
1	2094	49.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4238	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2144	50.6%
1	2094	49.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	4238	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2144	50.6%
1	2094	49.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4238	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2144	50.6%
1	2094	49.4%

cigsPerDay
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	33
Distinct (%)	0.8%
Missing	29
Missing (%)	0.7%
Infinite	0
Infinite (%)	0.0%
Mean	9.0030886

Minimum	0
Maximum	70
Zeros	2144
Zeros (%)	50.6%
Negative	0
Negative (%)	0.0%
Memory size	33.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	20
95-th percentile	30
Maximum	70
Range	70
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	11.920094
Coefficient of variation (CV)	1.3240005
Kurtosis	1.0233558
Mean	9.0030886
Median Absolute Deviation (MAD)	0
Skewness	1.2479099
Sum	37894
Variance	142.08863
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
0	2144	50.6%
20	734	17.3%
30	217	5.1%
15	210	5.0%
10	143	3.4%
9	130	3.1%
5	121	2.9%
3	100	2.4%
40	80	1.9%
1	67	1.6%
Other values (23)	263	6.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2144	50.6%
1	67	1.6%
2	18	0.4%
3	100	2.4%
4	9	0.2%
5	121	2.9%
6	18	0.4%
7	12	0.3%
8	11	0.3%
9	130	3.1%

Value	Count	Frequency (%)
70	1	< 0.1%
60	11	0.3%
50	6	0.1%
45	3	0.1%
43	56	1.3%
40	80	1.9%
38	1	< 0.1%
35	22	0.5%
30	217	5.1%
29	1	< 0.1%

BPMeds
Categorical

IMBALANCE MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	53
Missing (%)	1.3%
Memory size	33.2 KiB

0.0	4061
1.0	124

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	12555
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	4061	95.8%
1.0	124	2.9%
(Missing)	53	1.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	4061	97.0%
1.0	124	3.0%

Most occurring characters

Value	Count	Frequency (%)
0	8246	65.7%
.	4185	33.3%
1	124	1.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8370	66.7%
Other Punctuation	4185	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	8246	98.5%
1	124	1.5%

Other Punctuation

Value	Count	Frequency (%)
.	4185	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	12555	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	8246	65.7%
.	4185	33.3%
1	124	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12555	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	8246	65.7%
.	4185	33.3%
1	124	1.0%

prevalentStroke
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	33.2 KiB

0	4213
1	25

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	4238
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	4213	99.4%
1	25	0.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	4213	99.4%
1	25	0.6%

Most occurring characters

Value	Count	Frequency (%)
0	4213	99.4%
1	25	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4238	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	4213	99.4%
1	25	0.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	4238	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	4213	99.4%
1	25	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4238	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	4213	99.4%
1	25	0.6%

prevalentHyp
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	33.2 KiB

0	2922
1	1316

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	4238
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	2922	68.9%
1	1316	31.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2922	68.9%
1	1316	31.1%

Most occurring characters

Value	Count	Frequency (%)
0	2922	68.9%
1	1316	31.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4238	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2922	68.9%
1	1316	31.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	4238	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2922	68.9%
1	1316	31.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4238	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2922	68.9%
1	1316	31.1%

diabetes
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	33.2 KiB

0	4129
1	109

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	4238
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	4129	97.4%
1	109	2.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	4129	97.4%
1	109	2.6%

Most occurring characters

Value	Count	Frequency (%)
0	4129	97.4%
1	109	2.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4238	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	4129	97.4%
1	109	2.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	4238	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	4129	97.4%
1	109	2.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4238	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	4129	97.4%
1	109	2.6%

totChol
Real number (ℝ)

MISSING

Distinct	248
Distinct (%)	5.9%
Missing	50
Missing (%)	1.2%
Infinite	0
Infinite (%)	0.0%
Mean	236.72159

Minimum	107
Maximum	696
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	33.2 KiB

Quantile statistics

Minimum	107
5-th percentile	170
Q1	206
median	234
Q3	263
95-th percentile	312
Maximum	696
Range	589
Interquartile range (IQR)	57

Descriptive statistics

Standard deviation	44.590334
Coefficient of variation (CV)	0.18836615
Kurtosis	4.1315818
Mean	236.72159
Median Absolute Deviation (MAD)	29
Skewness	0.87142201
Sum	991390
Variance	1988.2979
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
240	85	2.0%
220	70	1.7%
260	62	1.5%
210	61	1.4%
232	59	1.4%
250	57	1.3%
200	56	1.3%
225	54	1.3%
230	54	1.3%
205	53	1.3%
Other values (238)	3577	84.4%
(Missing)	50	1.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
107	1	< 0.1%
113	1	< 0.1%
119	1	< 0.1%
124	1	< 0.1%
126	1	< 0.1%
129	1	< 0.1%
133	1	< 0.1%
135	2	< 0.1%
137	1	< 0.1%
140	2	< 0.1%

Value	Count	Frequency (%)
696	1	< 0.1%
600	1	< 0.1%
464	1	< 0.1%
453	1	< 0.1%
439	1	< 0.1%
432	1	< 0.1%
410	3	0.1%
405	1	< 0.1%
398	1	< 0.1%
392	1	< 0.1%

sysBP
Real number (ℝ)

HIGH CORRELATION

Distinct	234
Distinct (%)	5.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	132.35241

Minimum	83.5
Maximum	295
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	33.2 KiB

Quantile statistics

Minimum	83.5
5-th percentile	104
Q1	117
median	128
Q3	144
95-th percentile	175
Maximum	295
Range	211.5
Interquartile range (IQR)	27

Descriptive statistics

Standard deviation	22.038097
Coefficient of variation (CV)	0.16651074
Kurtosis	2.1550194
Mean	132.35241
Median Absolute Deviation (MAD)	13
Skewness	1.1453621
Sum	560909.5
Variance	485.6777
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
120	107	2.5%
130	102	2.4%
110	96	2.3%
115	89	2.1%
125	88	2.1%
124	84	2.0%
122	80	1.9%
126	73	1.7%
128	73	1.7%
123	72	1.7%
Other values (224)	3374	79.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
83.5	2	< 0.1%
85	1	< 0.1%
85.5	1	< 0.1%
90	2	< 0.1%
92	1	< 0.1%
92.5	2	< 0.1%
93	2	< 0.1%
93.5	2	< 0.1%
94	3	0.1%
95	7	0.2%

Value	Count	Frequency (%)
295	1	< 0.1%
248	1	< 0.1%
244	1	< 0.1%
243	1	< 0.1%
235	1	< 0.1%
232	1	< 0.1%
230	1	< 0.1%
220	2	< 0.1%
217	1	< 0.1%
215	3	0.1%

diaBP
Real number (ℝ)

HIGH CORRELATION

Distinct	146
Distinct (%)	3.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	82.893464

Minimum	48
Maximum	142.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	33.2 KiB

Quantile statistics

Minimum	48
5-th percentile	66
Q1	75
median	82
Q3	89.875
95-th percentile	104.575
Maximum	142.5
Range	94.5
Interquartile range (IQR)	14.875

Descriptive statistics

Standard deviation	11.91085
Coefficient of variation (CV)	0.14368865
Kurtosis	1.2770996
Mean	82.893464
Median Absolute Deviation (MAD)	7.5
Skewness	0.71410218
Sum	351302.5
Variance	141.86834
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
80	262	6.2%
82	152	3.6%
85	137	3.2%
70	135	3.2%
81	131	3.1%
84	122	2.9%
90	119	2.8%
78	116	2.7%
87	113	2.7%
75	108	2.5%
Other values (136)	2843	67.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
48	1	< 0.1%
50	1	< 0.1%
51	1	< 0.1%
52	2	< 0.1%
53	1	< 0.1%
54	1	< 0.1%
55	3	0.1%
56	2	< 0.1%
57	6	0.1%
57.5	3	0.1%

Value	Count	Frequency (%)
142.5	1	< 0.1%
140	1	< 0.1%
136	2	< 0.1%
135	2	< 0.1%
133	2	< 0.1%
132	1	< 0.1%
130	5	0.1%
129	1	< 0.1%
128	1	< 0.1%
127.5	1	< 0.1%

BMI
Real number (ℝ)

Distinct	1363
Distinct (%)	32.3%
Missing	19
Missing (%)	0.4%
Infinite	0
Infinite (%)	0.0%
Mean	25.802008

Minimum	15.54
Maximum	56.8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	33.2 KiB

Quantile statistics

Minimum	15.54
5-th percentile	20.06
Q1	23.07
median	25.4
Q3	28.04
95-th percentile	32.782
Maximum	56.8
Range	41.26
Interquartile range (IQR)	4.97

Descriptive statistics

Standard deviation	4.0801111
Coefficient of variation (CV)	0.15813153
Kurtosis	2.6568387
Mean	25.802008
Median Absolute Deviation (MAD)	2.49
Skewness	0.98197431
Sum	108858.67
Variance	16.647306
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
22.91	18	0.4%
22.54	18	0.4%
23.48	18	0.4%
22.19	18	0.4%
23.09	16	0.4%
25.09	16	0.4%
23.1	13	0.3%
22.73	13	0.3%
25.23	13	0.3%
27.78	12	0.3%
Other values (1353)	4064	95.9%
(Missing)	19	0.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
15.54	1	< 0.1%
15.96	1	< 0.1%
16.48	1	< 0.1%
16.59	2	< 0.1%
16.61	1	< 0.1%
16.69	1	< 0.1%
16.71	1	< 0.1%
16.73	1	< 0.1%
16.75	1	< 0.1%
16.87	1	< 0.1%

Value	Count	Frequency (%)
56.8	1	< 0.1%
51.28	1	< 0.1%
45.8	1	< 0.1%
45.79	1	< 0.1%
44.71	1	< 0.1%
44.55	1	< 0.1%
44.27	1	< 0.1%
44.09	1	< 0.1%
43.69	1	< 0.1%
43.67	1	< 0.1%

heartRate
Real number (ℝ)

Distinct	73
Distinct (%)	1.7%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	75.878924

Minimum	44
Maximum	143
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	33.2 KiB

Quantile statistics

Minimum	44
5-th percentile	60
Q1	68
median	75
Q3	83
95-th percentile	98
Maximum	143
Range	99
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	12.026596
Coefficient of variation (CV)	0.15849719
Kurtosis	0.90748324
Mean	75.878924
Median Absolute Deviation (MAD)	7
Skewness	0.64448173
Sum	321499
Variance	144.63902
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
75	563	13.3%
80	385	9.1%
70	305	7.2%
60	231	5.5%
85	227	5.4%
72	222	5.2%
65	197	4.6%
90	172	4.1%
68	151	3.6%
100	98	2.3%
Other values (63)	1686	39.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
44	1	< 0.1%
45	2	< 0.1%
46	1	< 0.1%
47	1	< 0.1%
48	5	0.1%
50	22	0.5%
51	1	< 0.1%
52	17	0.4%
53	11	0.3%
54	12	0.3%

Value	Count	Frequency (%)
143	1	< 0.1%
140	1	< 0.1%
130	1	< 0.1%
125	3	0.1%
122	2	< 0.1%
120	7	0.2%
115	5	0.1%
112	3	0.1%
110	36	0.8%
108	8	0.2%

glucose
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	143
Distinct (%)	3.7%
Missing	388
Missing (%)	9.2%
Infinite	0
Infinite (%)	0.0%
Mean	81.966753

Minimum	40
Maximum	394
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	33.2 KiB

Quantile statistics

Minimum	40
5-th percentile	62
Q1	71
median	78
Q3	87
95-th percentile	108.55
Maximum	394
Range	354
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	23.959998
Coefficient of variation (CV)	0.29231362
Kurtosis	58.674278
Mean	81.966753
Median Absolute Deviation (MAD)	8
Skewness	6.2134019
Sum	315572
Variance	574.08151
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
75	193	4.6%
77	167	3.9%
73	156	3.7%
80	152	3.6%
70	152	3.6%
83	151	3.6%
78	148	3.5%
74	141	3.3%
85	127	3.0%
76	127	3.0%
Other values (133)	2336	55.1%
(Missing)	388	9.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
40	2	< 0.1%
43	1	< 0.1%
44	2	< 0.1%
45	4	0.1%
47	3	0.1%
48	1	< 0.1%
50	3	0.1%
52	2	< 0.1%
53	5	0.1%
54	5	0.1%

Value	Count	Frequency (%)
394	2	< 0.1%
386	1	< 0.1%
370	1	< 0.1%
368	1	< 0.1%
348	1	< 0.1%
332	1	< 0.1%
325	1	< 0.1%
320	1	< 0.1%
297	1	< 0.1%
294	1	< 0.1%

TenYearCHD
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	33.2 KiB

0	3594
1	644

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	4238
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	3594	84.8%
1	644	15.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3594	84.8%
1	644	15.2%

Most occurring characters

Value	Count	Frequency (%)
0	3594	84.8%
1	644	15.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4238	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3594	84.8%
1	644	15.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	4238	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3594	84.8%
1	644	15.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4238	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3594	84.8%
1	644	15.2%

Auto

Heatmap
Table

	BMI	BPMeds	TenYearCHD	age	cigsPerDay	currentSmoker	diaBP	diabetes	education	glucose	heartRate	male	prevalentHyp	prevalentStroke	sysBP	totChol
BMI	1.000	0.136	0.087	0.145	-0.140	0.156	0.375	0.103	0.084	0.071	0.056	0.208	0.293	0.209	0.324	0.148
BPMeds	0.136	1.000	0.084	0.132	0.023	0.045	0.216	0.045	0.000	0.085	0.069	0.049	0.259	0.107	0.283	0.069
TenYearCHD	0.087	0.084	1.000	0.220	0.058	0.011	0.156	0.094	0.084	0.123	0.000	0.086	0.176	0.055	0.210	0.077
age	0.145	0.132	0.220	1.000	-0.215	0.226	0.209	0.097	0.145	0.116	-0.015	0.009	0.301	0.064	0.391	0.289
cigsPerDay	-0.140	0.023	0.058	-0.215	1.000	0.846	-0.089	0.000	0.042	-0.090	0.078	0.326	0.104	0.000	-0.111	-0.041
currentSmoker	0.156	0.045	0.011	0.226	0.846	1.000	0.110	0.040	0.061	0.082	0.073	0.197	0.102	0.026	0.123	0.039
diaBP	0.375	0.216	0.156	0.209	-0.089	0.110	1.000	0.050	0.047	0.047	0.179	0.069	0.637	0.040	0.778	0.186
diabetes	0.103	0.045	0.094	0.097	0.000	0.040	0.050	1.000	0.042	0.718	0.046	0.000	0.075	0.000	0.128	0.090
education	0.084	0.000	0.084	0.145	0.042	0.061	0.047	0.042	1.000	0.032	0.043	0.143	0.089	0.024	0.072	0.022
glucose	0.071	0.085	0.123	0.116	-0.090	0.082	0.047	0.718	0.032	1.000	0.097	0.000	0.087	0.031	0.117	0.030
heartRate	0.056	0.069	0.000	-0.015	0.078	0.073	0.179	0.046	0.043	0.097	1.000	0.114	0.140	0.000	0.171	0.089
male	0.208	0.049	0.086	0.009	0.326	0.197	0.069	0.000	0.143	0.000	0.114	1.000	0.000	0.000	0.105	0.083
prevalentHyp	0.293	0.259	0.176	0.301	0.104	0.102	0.637	0.075	0.089	0.087	0.140	0.000	1.000	0.070	0.709	0.160
prevalentStroke	0.209	0.107	0.055	0.064	0.000	0.026	0.040	0.000	0.024	0.031	0.000	0.000	0.070	1.000	0.057	0.000
sysBP	0.324	0.283	0.210	0.391	-0.111	0.123	0.778	0.128	0.072	0.117	0.171	0.105	0.709	0.057	1.000	0.224
totChol	0.148	0.069	0.077	0.289	-0.041	0.039	0.186	0.090	0.022	0.030	0.089	0.083	0.160	0.000	0.224	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	male	age	education	currentSmoker	cigsPerDay	prevalentHyp	totChol	sysBP	diaBP	BMI	heartRate	glucose	TenYearCHD
0	1	39	4.0	0	0.0	0	195.0	106.0	70.0	26.97	80.0	77.0	0
1	0	46	2.0	0	0.0	0	250.0	121.0	81.0	28.73	95.0	76.0	0
2	1	48	1.0	1	20.0	0	245.0	127.5	80.0	25.34	75.0	70.0	0
3	0	61	3.0	1	30.0	1	225.0	150.0	95.0	28.58	65.0	103.0	1
4	0	46	3.0	1	23.0	0	285.0	130.0	84.0	23.10	85.0	85.0	0
5	0	43	2.0	0	0.0	1	228.0	180.0	110.0	30.30	77.0	99.0	0
6	0	63	1.0	0	0.0	0	205.0	138.0	71.0	33.11	60.0	85.0	1
7	0	45	2.0	1	20.0	0	313.0	100.0	71.0	21.68	79.0	78.0	0
8	1	52	1.0	0	0.0	1	260.0	141.5	89.0	26.36	76.0	79.0	0
9	1	43	1.0	1	30.0	1	225.0	162.0	107.0	23.61	93.0	88.0	0

	male	age	education	currentSmoker	cigsPerDay	BPMeds	prevalentHyp	diabetes	totChol	sysBP	diaBP	BMI	heartRate	glucose	TenYearCHD
4228	0	50	1.0	0	0.0	0.0	1	1	260.0	190.0	130.0	43.67	85.0	260.0	0
4229	0	51	3.0	1	20.0	0.0	1	0	251.0	140.0	80.0	25.60	75.0	NaN	0
4230	0	56	1.0	1	3.0	0.0	1	0	268.0	170.0	102.0	22.89	57.0	NaN	0
4231	1	58	3.0	0	0.0	0.0	1	0	187.0	141.0	81.0	24.96	80.0	81.0	0
4232	1	68	1.0	0	0.0	0.0	1	0	176.0	168.0	97.0	23.14	60.0	79.0	1
4233	1	50	1.0	1	1.0	0.0	1	0	313.0	179.0	92.0	25.97	66.0	86.0	1
4234	1	51	3.0	1	43.0	0.0	0	0	207.0	126.5	80.0	19.71	65.0	68.0	0
4235	0	48	2.0	1	20.0	NaN	0	0	248.0	131.0	72.0	22.00	84.0	86.0	0
4236	0	44	1.0	1	15.0	0.0	0	0	210.0	126.5	87.0	19.16	86.0	NaN	0
4237	0	52	2.0	0	0.0	0.0	0	0	269.0	133.5	83.0	21.47	80.0	107.0	0

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks